Estimation of Population Mean in Chain Ratio-Type Estimator under Systematic Sampling
Mursala Khan and
Rajesh Singh
Journal of Probability and Statistics, 2015, vol. 2015, 1-5
Abstract:
A chain ratio-type estimator is proposed for the estimation of finite population mean under systematic sampling scheme using two auxiliary variables. The mean square error of the proposed estimator is derived up to the first order of approximation and is compared with other relevant existing estimators. To illustrate the performances of the different estimators in comparison with the usual simple estimator, we have taken a real data set from the literature of survey sampling.
Date: 2015
References: Add references at CitEc
Citations:
Downloads: (external link)
http://downloads.hindawi.com/journals/JPS/2015/248374.pdf (application/pdf)
http://downloads.hindawi.com/journals/JPS/2015/248374.xml (text/xml)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:hin:jnljps:248374
DOI: 10.1155/2015/248374
Access Statistics for this article
More articles in Journal of Probability and Statistics from Hindawi
Bibliographic data for series maintained by Mohamed Abdelhakeem ().